new Dataset Image Dataset
Versions
2024-06-06 11:13am
v11
Jun 6, 2024
2024-05-25 3:12pm
v10
May 25, 2024
2024-05-25 3:05pm
v9
May 25, 2024
2024-04-02 12:43pm
v8
Apr 2, 2024
2024-03-27 10:50am
v7
Mar 27, 2024
2024-03-26 11:18am
v6
Mar 26, 2024
2024-02-20 4:51pm
v5
Feb 20, 2024
2024-02-07 2:23pm
v4
Feb 7, 2024
2024-02-06 4:03pm
v3
Feb 6, 2024
2023-11-20 12:07pm
v2
Nov 20, 2023
2023-10-24 2:20pm
v1
Oct 24, 2023
v11
2024-06-06 11:13am
Generated on Jun 6, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
8347 Total Images
View All Images
Dataset Split
Train Set 85%
7095Images
Valid Set 8%
695Images
Test Set 7%
557Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Noise: Up to 0% of pixels
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